fire717/Recommendation-system
推荐系统资料笔记收录/ Everything about Recommendation System. 专题/书籍/论文/产品/Demo
This project is a comprehensive collection of resources for understanding and implementing recommendation systems. It covers the core concepts, common algorithms like SVD and FM, and practical challenges such as cold start problems. It's designed for data scientists, machine learning engineers, and product managers who need to build or evaluate systems that suggest products, content, or services to users based on their preferences.
173 stars. No commits in the last 6 months.
Use this if you are a data professional or product owner looking to deepen your knowledge of recommendation systems from theoretical foundations to practical applications and relevant research.
Not ideal if you are looking for a plug-and-play solution or a single, executable codebase to deploy a recommendation system immediately without needing to learn the underlying principles.
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Jan 20, 2021
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